Duplicate from halimbox/Spotify

Co-authored-by: Halim B. <halimbox@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: Spotify
+emoji: 💻
+colorFrom: yellow
+colorTo: green
+sdk: streamlit
+sdk_version: 1.10.0
+app_file: app.py
+pinned: false
+license: artistic-2.0
+duplicated_from: halimbox/Spotify
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Mon Jul  4 10:48:49 2022
+
+@author: halimbouayad
+"""
+
+import pandas as pd
+import numpy as np
+
+
+from datetime import datetime 
+import os
+
+# #load data
+
+# dir = os.getcwd()
+# path = os.path.join(dir, 'data.csv')
+
+# try:
+#     df=pd.read_csv(path)
+#     df_continent=pd.DataFrame(df.groupby('continent').total_deaths.sum())
+# except:
+#     print('Error has occured')
+
+
+    
+    
+# ################################################
+
+import spotipy
+from spotipy.oauth2 import SpotifyOAuth
+import json
+import spotipy.util as util
+from spotipy.oauth2 import SpotifyClientCredentials
+import requests
+from requests import *
+import pandas as pd
+import streamlit as st
+
+
+# Custom imports
+import ss_functions 
+from ss_functions import *
+import env_variables
+username = "hyder14"
+
+
+
+
+
+
+st.title('Spotify Playlist Shuffler')
+
+st.text('The goal of this project is to gain better control of your playlists\n while exploring the features of the Spotify Web API.')
+
+
+    
+with st.expander('Create a playlist'):
+
+
+    st.header('Create a playlist')
+    st.write('Hello, *World!* :sunglasses:')
+    
+    scope = "playlist-modify-public"
+
+
+    token = util.prompt_for_user_token(username,scope,client_id=os.environ['SPOTIPY_CLIENT_ID'],client_secret=os.environ['SPOTIPY_CLIENT_SECRET'],redirect_uri=os.environ['SPOTIPY_REDIRECT_URI'])
+    spotifyObject = spotipy.Spotify(auth=token)
+
+    
+    #create the playlist
+    playlist_name = st.text_input('Enter a playlist name = ')
+    playlist_description = st.text_input('Enter a playlist description = ')
+
+    if st.button('Create playlist!'):
+        token = util.prompt_for_user_token(username,scope,client_id=SPOTIPY_CLIENT_ID,client_secret=SPOTIPY_CLIENT_SECRET,redirect_uri=SPOTIPY_REDIRECT_URI)
+        spotifyObject = spotipy.Spotify(auth=token)
+        spotifyObject.user_playlist_create(user=username, name=playlist_name, public=True, description=playlist_description)
+
+
+
+with st.expander('List of current playlists'):
+    
+    st.header("List of playlist")
+    
+    sp=connect(scope='user-library_read', username=username)
+    
+    df, test=get_data(sp, username)
+    st.dataframe(df)
+    
+    st.text(test)
+    
+    
+with st.expander('What do your playlists look like?'):
+    if isinstance(df, pd.DataFrame):
+        EDA(df)
+        
+        
+      

env_variables.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Sat Jul 23 10:38:49 2022
+
+@author: halimbouayad
+"""
+from datetime import datetime 
+import os
+os.environ['SPOTIPY_CLIENT_ID'] = "fc99466410414fbb9aaafbfe76ab5a1d"
+os.environ['SPOTIPY_CLIENT_SECRET'] = "83577093a17d4db3989a074b85b7905a"
+os.environ['SPOTIPY_REDIRECT_URI'] = "http://www.google.com:1234"
+#os.environ['SPOTIPY_REDIRECT_URI'] = "https://halimbox-spotify-shuffler-main-ss-p7ac1f.streamlitapp.com:1234"

requirements.txt

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+numpy==1.23.0
+pandas==1.4.3
+plotly==5.9.0
+requests==2.28.1
+spotipy==2.20.0
+streamlit==1.10.0

ss_functions.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Sat Jul 23 10:15:02 2022
+
+@author: halimbouayad
+"""
+import spotipy
+from spotipy.oauth2 import SpotifyOAuth
+import json
+import spotipy.util as util
+from spotipy.oauth2 import SpotifyClientCredentials
+import requests
+from requests import *
+import pandas as pd
+import streamlit as st
+import numpy as np
+import time
+
+def connect(scope, username):
+    scope = "user-library-read"  
+    token = SpotifyOAuth(scope=scope, username=username)
+    spotifyObject = spotipy.Spotify(auth_manager=token)
+    return spotifyObject
+
+
+def get_features(a):
+    
+    feature_names = [f for f in a[0]]
+    features = []
+
+    for i in range(len(a)):
+        
+        features.append([a[i][f] for f in a[i]])
+#        features=list(np.pad(features, (0, max_length), 'constant'))
+
+    #print(len(features))
+    return features, feature_names
+
+
+
+def get_artist(liste):
+    for i, artists in enumerate(liste):
+        if i ==0:
+            artist=artists['name']
+        else:
+            artist=artist+", "+artists['name']
+    return artist
+
+@st.cache
+def get_data(sp, username):
+    playlists = sp.current_user_playlists(limit=50)
+   
+    tr_names=[]
+    pl_urls=[]
+    pl_names=[]
+    #tracks=[]
+    #links=[]
+    date_added=[]
+    popularity=[]
+    ids=[]
+    artist_list=[]
+    #features=[]
+    features=pd.DataFrame()
+    df=pd.DataFrame()
+    
+    while playlists:
+        
+        
+        
+        for i, playlist in enumerate(playlists['items']):
+            #print("%4d %s %s" % (i + 1 + playlists['offset'], playlist['uri'],  playlist['name']))
+            # urls.append(playlist['uri'])
+            # names.append(playlist['name'])
+            # tracks.append(playlist['tracks']['total'])
+            # links.append(playlist['external_urls']['spotify'])
+            # ids.append(playlist['id'])
+            #print(playlist)
+            #st.text(last)
+            print(playlist)
+            playlist_content=sp.playlist(playlist['uri'])
+            for i,trax in enumerate(playlist_content['tracks']['items']):
+                
+                #Track name
+                tr_names.append(trax['track']['name'])
+                
+                #Track ID
+                ids.append(trax['track']['id'])
+                
+                date_added.append(trax['added_at'])
+                
+                popularity.append(trax['track']['popularity'])
+                
+                #Playlist Name
+                pl_names.append(playlist['name'])
+                
+                #Track URI
+                pl_urls.append(playlist['uri'])
+                
+                artist_list.append(get_artist(trax['track']['artists']))
+                
+                test='All done!'
+                
+        if playlists['next']:
+            playlists = sp.next(playlists)
+        else:
+            playlists = None
+    
+    #audio_analysis
+
+
+    df['playlist']=pl_names
+    df['track']=tr_names
+    df['artist']=artist_list
+    df['playlist_url']=pl_urls
+    df['track_id']=ids
+    df['date_added']=date_added
+    df['popularity']=popularity
+    
+    #Audio Features
+
+    # start=0
+ 
+    # for i in range(int(np.ceil(len(df)/50))):
+    #     end=max(start+50, len(df))
+        
+        
+        
+    #     print('test='+str(i))
+    #     print(feat)
+
+    #API only handles batch of 100 of ids
+    for start in range(0, len(df), 100):
+        
+        if start+100>len(df):
+            end=len(df)
+        else:
+            end=start+100
+            
+
+
+        audio_feat=sp.audio_features(df.track_id[start:end])
+        
+        ##print('audio feat=======')
+        #print(audio_feat)
+        
+        #print('feat=======')
+        feat, feat_names = get_features(audio_feat)
+        print('-----feat')
+        print(feat)
+        print('-----features')
+        print(features)
+        features=pd.concat([features, pd.DataFrame(feat)], axis=0)
+        print('-----features')
+        print(features)
+
+    #print(len(features))
+    
+    
+    features.columns=feat_names
+    
+    df=pd.concat([df.reset_index(), features.reset_index()], axis=1)
+
+
+    
+    df=df.drop(columns=['index', 'index'])
+    
+    #df.to_pickle('./spotify.pkl')
+    return df, test
+
+# def playlist_details(sp, df, username):
+    
+   
+    
+#     selected=st.selectbox('Please select to zoom', df.name)
+#     uri=df[df.name==selected].reset_index()['url'][0]
+#     #df_tracks=pd.DataFrame(playlist_content)
+    
+#     # Connection to Spotipy
+#     #sp=connect(scope='user-library_read', username=username)
+#     playlist_content=sp.playlist(uri)
+#     names=[]
+#     releasedays=[]
+#     ids=[]
+    
+#     for i,trax in enumerate(playlist_content['tracks']['items']):
+    
+#         names.append(trax['track']['name'])
+#         #releasedays.append(trax['track']['added_at'])
+#         ids.append(trax['track']['id'])
+        
+#     pl=pd.DataFrame()
+#     pl['name']=names
+#     #pl['release_date']=releasedays
+#     pl['id']=ids
+#     st.dataframe(pl)
+#     return df 
+
+def EDA(df):
+    st.header("EDA")
+    #Key Metrics
+    f_value=st.selectbox('Select a playlist', df.playlist.unique())
+    dff=df[df.playlist==f_value]
+    
+    cols=['danceability','energy','acousticness','tempo','loudness','valence']
+    for col in cols[:2]:
+        temp=dff.describe().loc['mean',:][col]
+        st.metric(col, '{:.1%}'.format(temp))
+    
+    st.text('Top songs from that album:')
+    st.dataframe(dff)
+
+    selected=st.selectbox('By playlist (click to select other filter)', df.columns)
+    st.bar_chart(df[df.playlist==f_value].groupby(selected).agg({'danceability':'mean'}))
+ 
+    
+     
+
+    
+#if st.button('View playlist!'):
+    
+# def playlist_overview(sp, username):
+#     # scope = "user-library-read"  
+#     # token = SpotifyOAuth(scope=scope, username=username)
+#     # spotifyObject = spotipy.Spotify(auth_manager=token)
+    
+    
+#     playlists = sp.current_user_playlists(limit=50)
+#     print('=================')
+#     #response = requests.get("http://localhost:1234", timeout=10)
+#     #print(response.json())
+#     print('=================')
+#     df=pd.DataFrame()   
+    
+#     urls=[]
+#     names=[]
+#     tracks=[]
+#     links=[]
+#     ids=[]
+    
+#     while playlists:
+        
+#         for i, playlist in enumerate(playlists['items']):
+#             #print("%4d %s %s" % (i + 1 + playlists['offset'], playlist['uri'],  playlist['name']))
+#             urls.append(playlist['uri'])
+#             names.append(playlist['name'])
+#             tracks.append(playlist['tracks']['total'])
+#             links.append(playlist['external_urls']['spotify'])
+#             ids.append(playlist['id'])
+#             #print(playlist)
+#             #st.text(last)
+           
+      
+            
+#         if playlists['next']:
+#             playlists = sp.next(playlists)
+#         else:
+#             playlists = None
+    
+#     #audio_analysis
+    
+#     df['name']=names
+#     df['tracks']=tracks
+#     df['url']=urls
+#     df['id']=ids
+#     st.dataframe(df)   
+
+#[a[0][i] for i in a[0]] 
+# 1seFIg83Eac87g1hmtBRjG
+# 5ZwRTJD1bTACtIuW5Iibnu